IR
Anthology
Community
Qitian
Wu
2024
doi
dblp
InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data.
Hengrui Zhang
|
Qitian Wu
|
Chenxiao Yang
|
Philip S. Yu
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
doi
dblp
Graph Out-of-Distribution Generalization via Causal Intervention.
Qitian Wu
|
Fan Nie
|
Chenxiao Yang
|
Tianyi Bao
|
Junchi Yan
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
doi
dblp
Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions.
Wujiang Xu
|
Qitian Wu
|
Runzhong Wang
|
Mingming Ha
|
Qiongxu Ma
|
Linxun Chen
|
Bing Han
|
Junchi Yan
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
2023
doi
dblp
MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning.
Nianzu Yang
|
Kaipeng Zeng
|
Qitian Wu
|
Junchi Yan
Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023
2021
doi
dblp
Seq2Bubbles: Region-Based Embedding Learning for User Behaviors in Sequential Recommenders.
Qitian Wu
|
Chenxiao Yang
|
Shuodian Yu
|
Xiaofeng Gao
|
Guihai Chen
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
2019
doi
dblp
Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems.
Qitian Wu
|
Hengrui Zhang
|
Xiaofeng Gao
|
Peng He
|
Paul Weng
|
Han Gao
|
Guihai Chen
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019
2018
doi
dblp
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction.
Qitian Wu
|
Chaoqi Yang
|
Hengrui Zhang
|
Xiaofeng Gao
|
Paul Weng
|
Guihai Chen
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018